Statistical Displays

Curiously, the statistical graphics, information visualization and scientific visualization communities have evolved separately and largely do not interact. Our stakeholders need better integrated statistical analysis and graphics, information and scientific visualization tools. An immediate example where such a combination could have an immediate positive benefit is in analyzing, understanding, and representing error and uncertainty in complex three-dimensional simulations. The results of such integration are tools that use data summary techniques like large data clustering and high-dimensional analysis to display "small multiples." Data clustering allows large amounts of data to be summarized succinctly, without sacrificing important details. High-dimensional analysis and displays will, among other things, allow scientists to identify lower dimensionality features within their data, greatly increasing data understanding.

See Gallery: Statistical Visualization